Ditch p-values. Use Bootstrap confidence intervals instead {https://t.co/YKlOp4v7p5} #rstats #DataScience
— R-bloggers (@Rbloggers) November 9, 2021
Analysis of Covariance (ANCOVA) using R {https://t.co/W7V7OJNi4R} #rstats #DataScience
— R-bloggers (@Rbloggers) November 14, 2021
Chi-Square test using R {https://t.co/pnPsJcWnTk} #rstats #DataScience
— R-bloggers (@Rbloggers) November 15, 2021
Pearson correlation in R {https://t.co/krDYaGcM91} #rstats #DataScience
— R-bloggers (@Rbloggers) November 15, 2021
How to Make Stunning Boxplots in R: A Complete Guide with ggplot2 {https://t.co/WqiTmdZjKX} #rstats #DataScience
— R-bloggers (@Rbloggers) November 9, 2021
How to Calculate Jaccard Similarity in R {https://t.co/YvOYdO2iA4} #rstats #DataScience
— R-bloggers (@Rbloggers) November 13, 2021
Random Forest in R {https://t.co/Xd10FF5xvb} #rstats #DataScience
— R-bloggers (@Rbloggers) November 15, 2021
String Manipulation in R {https://t.co/BkSnOzod8B} #rstats #DataScience
— R-bloggers (@Rbloggers) November 14, 2021
Cross Validation in R with Example {https://t.co/iy4hVoYTaz} #rstats #DataScience
— R-bloggers (@Rbloggers) November 15, 2021
How to Plot Observed and Predicted values in R {https://t.co/w0ZCi3i47f} #rstats #DataScience
— R-bloggers (@Rbloggers) November 15, 2021
One Sample T-test in R {https://t.co/sNj47kStfw} #rstats #DataScience
— R-bloggers (@Rbloggers) November 14, 2021
Random Forests with Monotonic Constraints {https://t.co/1lQQtixKHr} #rstats #DataScience
— R-bloggers (@Rbloggers) November 13, 2021
Top R Packages for Visualizing Table Data – Make Stunning Tables in Minutes {https://t.co/hiZC5N5X39} #rstats #DataScience
— R-bloggers (@Rbloggers) November 2, 2021
Ditch p-values. Use Bootstrap confidence intervals instead {https://t.co/YKlOp4v7p5} #rstats #DataScience
— R-bloggers (@Rbloggers) November 9, 2021
Apache Arrow in R – Supercharge Your R Shiny Dashboards with 10X Faster Data Loading {https://t.co/a2tP47K86m} #rstats #DataScience
— R-bloggers (@Rbloggers) October 17, 2021
Analysis of Covariance (ANCOVA) using R {https://t.co/W7V7OJNi4R} #rstats #DataScience
— R-bloggers (@Rbloggers) November 14, 2021
Descriptive Statistics in R {https://t.co/WYkwi8CCv4} #rstats #DataScience
— R-bloggers (@Rbloggers) October 21, 2021
How to Start a Career as an R Shiny Developer {https://t.co/iJkDCxgHe0} #rstats #DataScience
— R-bloggers (@Rbloggers) October 26, 2021
Chi-Square test using R {https://t.co/pnPsJcWnTk} #rstats #DataScience
— R-bloggers (@Rbloggers) November 15, 2021
Pearson correlation in R {https://t.co/krDYaGcM91} #rstats #DataScience
— R-bloggers (@Rbloggers) November 15, 2021
Data Normalization in R {https://t.co/EoZeUDNKCP} #rstats #DataScience
— R-bloggers (@Rbloggers) October 17, 2021
How to Plot Observed and Predicted values in R {https://t.co/kLH4vEVhzc} #rstats #DataScience
— R-bloggers (@Rbloggers) November 6, 2021
How to Make Stunning Boxplots in R: A Complete Guide with ggplot2 {https://t.co/WqiTmdZjKX} #rstats #DataScience
— R-bloggers (@Rbloggers) November 9, 2021
Descriptive Statistics in R {https://t.co/btum67rO6X} #rstats #DataScience
— R-bloggers (@Rbloggers) October 23, 2021
---
title: "RBloggers Top Tweets"
output:
flexdashboard::flex_dashboard:
vertical_layout: scroll
source_code: embed
theme:
version: 4
bootswatch: yeti
css: styles/main.css
---
```{r setup, include=FALSE}
library(flexdashboard)
library(dplyr)
library(httr)
library(lubridate)
library(jsonlite)
library(purrr)
rbloggers <- fromJSON("data/rbloggers.json")
get_tweet_embed <- function(user, status_id) {
url <-
stringr::str_glue(
"https://publish.twitter.com/oembed?url=https://twitter.com/{user}/status/{status_id}&partner=&hide_thread=false"
)
response <- GET(url) %>%
content()
return(shiny::HTML(response$html))
}
```
Column {.tabset .tabset-fade}
-----------------------------------------------------------------------
### Top Tweets - 7 days {.tweet-wall}
```{r}
rblog_7 <- rbloggers %>%
mutate(created_at = as_date(created_at)) %>%
filter(created_at %within% interval(start = today() - 7, end = today())) %>%
slice_max(favorite_count + retweet_count, n = 12)
rblog_7_html <-
map2_chr(rblog_7$screen_name, rblog_7$status_id, get_tweet_embed)
shiny::HTML(stringr::str_glue("{rblog_7_html}"))
```
### Top Tweets - 30 days {.tweet-wall}
```{r}
rblog_30 <- rbloggers %>%
mutate(created_at = as_date(created_at)) %>%
filter(created_at %within% interval(start = today() - 30, end = today())) %>%
slice_max(favorite_count + retweet_count, n = 12)
rblog_30_html <-
map2_chr(rblog_30$screen_name, rblog_30$status_id, get_tweet_embed)
shiny::HTML(stringr::str_glue("{rblog_30_html}"))
```